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Reid Daavettila Elite Prospects ↗

Position: Forward DOB: 2005-05-04 Country: USA
No commitment set

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2021-22 Lincoln Stars USHL 2 0 0 0 0.000 — — — —
2022-23 Minnesota Wilderness NAHL 59 5 13 18 0.305 0.1121 0.1227 0.3220 0.3523
2023-24 Fargo Force USHL 62 15 15 30 0.484 0.2855 0.2857 1.4533 1.4545
2024-25 Waterloo Black Hawks USHL 59 12 20 32 0.542 0.3200 0.3039 1.6290 1.5473
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2025-26 Michigan Tech D1 CCHA FR 30 1 7 8 0.267
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.25
before college
→
Actual FR PPG
0.27
2025-26 · Michigan Tech
+5.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

68%
NCAA D1
5%
NCAA D2/D3
10%
Age-Out / Club
18%
Pro / Other

NCAAe Rankings

#18689
Forward overall
#1000
Forward born in 2005
#1829
in USHL

D1 Comparables

Luc Gerdes
NAHL · 2012-13 · 0.80 PPG
→ Colorado College (0.25 D1 FR PPG)
0.29 Developing
NCAAe PPG
Devin Loe
NAHL · 2012-13 · 0.85 PPG
→ Miami (0.71 D1 FR PPG)
0.31 Strong
NCAAe PPG
Ben Foster
USHL · 2012-13 · 0.60 PPG
→ Princeton (0.30 D1 FR PPG)
0.33 Developing
NCAAe PPG
Cameron Brown
USHL · 2012-13 · 0.59 PPG
→ Maine (0.54 D1 FR PPG)
0.33 Average
NCAAe PPG
Jay Dickman
NAHL · 2012-13 · 1.00 PPG
→ Bemidji State
0.36 No data
NCAAe PPG

D2/3 Comparables

Geordan Buffoline
University of New England · 2018-19
1.667 Elite
actual D2/3 PPG
Jonny Mulera
Salve Regina · 2018-19
1.409 Elite
actual D2/3 PPG
Shawn Skelly
Adrian · 2006-07
1.655 Elite
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.